Final report for LS21-353
Project Information
Crop diversification and rotation improve soil nutrition, reduce weed pressure, interrupt disease and pest cycles, reduce risk of crops loss and can increase income for growers. Farmers in North Florida often do not use rotation because crops that they could use in rotation with major crops (corn, peanut, and cotton) produce little or no income. Due to its relatively high value, many growers produce peanut several years in succession, resulting in growing disease, insect and weed pressure. Unpredictable rainfall patterns and high temperatures, both of which may increase in the future, are major challenges for these farmers, threatening both economic and environmental sustainability of their systems. Growers in North Florida express interest in crops that can fit into their annual cropping cycle without disrupting primary crop production and would make their systems more profitable and sustainable. Chickpea, the 2nd most widely consumed food legume, may have potential as a food and cover crop in the off-production season for the main crop. Consumer demand for chickpea has increased significantly as it is gluten free, high in essential amino acids and fiber, and an excellent source of several minerals and antioxidants. Increased demand for chickpea in healthy snacks, salads, vegan foods, and in processed products (hummus) has resulted in increased acreage and production in the US. Chickpea could be a profitable crop in North Florida due to a favorable growing environment and its short winter crop cycle (120-140 days) that would allow it to fit into several cropping systems involving corn, cotton, and vegetables. It may also provide environmental benefits by fixing N, preserving soil moisture, suppressing weeds and breaking pest cycles in rotational crops. Chickpea is also a relatively undemanding crop that remains productive under adverse environmental conditions. It requires minimum post-harvest processing and can be sold through local food venues as well as through commodity chains. It could be profitable for small-scale growers who are willing to develop or cultivate a market through local farmers markets, other direct markets, or for wholesale to smaller distributors. However, to our knowledge, there is no information available on yield, varieties, and management practices for chickpea in Florida and the southeastern US, including how N-fixation inputs and impacts on pest cycles affect rotational crops like corn. To address these knowledge gaps, our multi-disciplinary team including growers, extension agents, and researchers in four departments at the UF and FAMU proposes to investigate the feasibility of chickpea production for corn-based cropping system in Florida. We will: 1) characterize chickpea varieties to identify high yielding, cold tolerant varieties that mature in target windows, 2) assess nitrogen fixation in chickpea, impacts on soil N cycling, and the N-credit to the subsequent crop, 3) assess how chickpea impacts insect pests, beneficial organisms and disease pressure on the rotational crops, 4) analyze costs of production, and 5) disseminate results through UF and FAMU newsletters, websites, and listservs, fact sheets, and on-site and virtual field days, in-service training and county and regional extension educational programs.
The aim of this project is to evaluate chickpea to improve our knowledge on this multi-purpose crop and learn whether it can be grown for its full growth potential in the Southern Coastal Plain region as an off-season (winter) dual-purpose crop (cash and cover) in corn production systems. Our evaluation will be based on yield and economic returns, potential N-credits, and impact on major insect pests of the major summer cash crop (corn). We will identify the best maturity chickpea varieties for production (high yielding and nutrient rich) to enhance diversity, and environmental and economical sustainability. The specific objectives are:
Objective 1: Evaluate yield, nutritional quality and N-fixation of chickpeas integrated into corn cropping systems.
Objective 2: Assess N-fixation by chickpea and N credit to the subsequent cash crop, by combining 15N tracing at one research site (PSREU) on the three most promising varieties with more traditional N cycling measurements at both research sites and on growers’ fields.
Objective 3: Measure insect and disease pressure in the rotational crops.
Objective 4: Evaluate and compare the economic feasibility of production for evaluated chickpea varieties.
Objective 5: Incorporate stakeholder’ recommendations in the evaluation of project activities, conduct outreach and training, and disseminate findings on the potential dual-purpose of chickpea in agricultural production systems.
As a prelude of developing these objectives, initially, we screened different Kabuli chickpea varieties of International Center for Agriculture Research in the Dry Areas (ICARDA) origin at PSREU, Citra and 70 were selected. These 70 chickpea varieties showed cold tolerance and demonstrated to be promising for North Florida growing conditions. The growing cycle of these varieties ranged between mid-November to early April. In another preliminary study to explore the possibility of growing fall sown chickpea in North Florida, we planted drought tolerant (Punjab Noor‐2009) and sensitive (93127) chickpea lines at Plant Science Research and Education Unit (PSREU), Citra, FL. Data were collected on nodule number, height, harvest index, pods/plant, 100-pod and -seed weight and yield and are presented in Tables 1 and 2. The lines were planted in late November. The yield of drought tolerant lines had 1330 lbs/ac and 1850 lbs/acre under rainfed and irrigated conditions, respectively. Our preliminary results demonstrate the potentials of growing chickpea in the winter season in Southern Coaster Plain, however, we need to find out right variety with cold tolerance, disease resistance, best maturity, high yield potential and high N-fixation capacity.
Table 1: Difference in plant response to traits in drought tolerant (93127) and sensitive (Punjab Noor‐2009) chickpea genotypes planted in Citra, Florida in 2017-18.
Treatments | No of nodules /Plant | Plant height (cm) |
Biomass/plant (g) |
Harvest index (%) | ||||||||
Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | |
Rainfed | 10 | 25 | 10 | 36 | 81 | 8 | 38 | 92 | 22 | 32 | 48 | 8 |
Irrigated | 22 | 30 | 6 | 75 | 80 | 3 | 108 | 103 | NS | 68 | 65 | NS |
Table 2: Differences in yield and related traits in drought tolerant (93127) and sensitive (Punjab Noor‐2009) chickpea genotypes planted in Citra, Florida in 2017-18.
Treatments | ||||||||||||
Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | Sen | Tol | LSD (0.05) | |
Rainfed | 62 | 113 | 21 | 20 | 48 | 7 | 16 | 28 | 6 | 853 | 1330 | 220 |
Irrigated | 121 | 131 | 8 | 48 | 55 | 4 | 29 | 33 | 3 | 1708 | 1850 | 80 |
Cooperators
- - Technical Advisor - Producer
- - Producer (Researcher)
- - Producer (Researcher)
- - Producer
Research
Objective 1:
Year 1 (2021-22): We will evaluate 70 pre-screened Kabuli chickpea varieties and 10 commercial checks (grows in North Dakota, California, Nebraska, Washington and Montana) in mid-Nov for late March harvesting at PSREU, Citra, (North-central Florida) and NFREC, Quincy, (North Florida). The trial will be planted in a 10ft long, four-row plot in an alpha-lattice design with two replications/location with a row-to-row distance of 12 inches. Seeds will be inoculated with Cicer specific Rhizobium bacteria prior to planting to encourage nodulation. A small amount of starter N (10 pounds/acre) with a P fertilizer source will be applied for early vegetative growth. Sulfur, potassium, phosphorus and micronutrients will be applied for proper growth and yield.
We will collect following data to characterize chickpea varieties:
Emergence: We will estimate emergence after two weeks of planting by visual rating of 0-9 scale, where 0 and 9 reflects no and >90% germination, respectively.
Time to R2 & R7: We will calculate the time between planting and 50% of open flowers on the plant (R2) and 50% of pods being yellow (R7).
Cold tolerance: A 1 to 9 scale will be used following Singh et al. (1997), where 1 = no visible symptoms of damage and 9 = 100% plant killing.
Normalized difference vegetation index (NDVI): We will collect NDVI images using MicaSense Rededge camera mounted on a DJI Matrice 100 drone at 15, 30, and 45 days after emergence to assess vigor indirectly (Tucker and Sellers, 1986). Chickpeas with high NDVI will be considered as varieties that can potentially preserve moisture and suppress weeds as they have vigorous early growth.
Biomass: Fresh and dry biomass weight will be measured at 45 days after emergence to evaluate forage yield potential.
Plant height: Height will be measured after pod formation on randomly selected eight plants per replicate from the middle two rows.
Disease rating: We will rate diseases using 1 to 5 disease incidence scale (Harveson et al., 2009), where 1 = no disease and 5 = > 75% of plant showing symptoms. Disease severity will also be recorded on a 0 to 100% scale with 1% increments for each disease identified.
Pods/plants: We will count pods/plants from eight randomly selected plants in the middle two rows.
100-grain weight: We will count and weigh hundred grains after harvest.
Yield: Middle two rows will be machine harvested to estimate yield at 15% moisture.
Food qualities analysis: Total protein, digestible fiber, Fe, Zn, K and Mg in grains will be measured at UF/IFAS Forage Evaluation Support and Analytical Service Laboratory.
We will identify 6-8 varieties with best maturity, high yield potential, high food quality, disease resistance, and cold tolerance for year 2 and 3 testing.
Year 2 (2022-23): The selected 6-8 chickpea varieties and rye will be planted at PSREU and FAMU Research and Extension Center, Quincy in 4-row 20 ft long plots in a randomized complete block design with four replications/location. We will include rye in the Year 2 and 3 experiments, as rye has been the predominant growers’ preference for winter cover crop in North Florida, to evaluate the effect of chickpeas on the yield and insect infestation of corn in comparison to growers’ practice. Chickpea seeds will be inoculated before planting like Y1. All phenotypic data will be collected following the same protocols as Y1. In addition, the N-fixation capacity of chickpea varieties will be assessed (objective 2). We will conduct growers’ research assessments to select the best performing varieties for growers’ field evaluations in Y3. Following chickpea harvest, corn hybrids will be planted in mid-April in the same field for assessing N-credit (objective 2) and the effect on pests (objective 3) on the rotational crop. Corn trials will be planted in 4-row 20 ft plot with 36” row-row distance to estimate emergence, yield, test weight, etc.
Year 3 (2023-24): We will continue experiments in both PSREU and FAMU and will work with growers to conduct on-farm trials with a corn crop. The trials at PSREU and FAMU will follow the same protocol as Y2.
On farm trial: Four on-farm trials will be planted in four growers’ fields in Mariana, Monticello, Havana and Live Oak, FL to evaluate the performance of chickpea varieties (selected by growers in year 2) under growers’ field conditions. The chickpea trial will be planted in four 100 ft long strips. The trial will be assessed by growers for yield, maturity, weed suppression, fertility, etc. Following the harvesting of chickpeas, corn will be planted in the same field for the estimation of N-credit and effect on pests of corn (objectives 2 & 3).
Data will be analyzed in a linear mixed model using R package for locations, across locations, and across years and locations to estimate genotype-location interaction. The broad sense heritability for traits will be estimated. The design will be adjusted considering locations, blocks, and genotype-location interaction as random effects. PI Babar and Dr. Bolques will lead research activities and analysis for objective 1.
Objective 2:
Experimental and analytical work for objective 2 will take place during years 2 and 3 of the project, using complementary approaches for on-station research.
At PSREU, we will setup a 15N tracing experiment with the 3 most promising varieties from the 6-8 selected after year 1, selecting those most promising varieties in collaboration with the advisory council. We will label chickpea plants for these 3 varieties with 15N-enriched fertilizer, using a 30 m2 area outside of the main research plots to prevent soil contamination with 15N. We will do 4 fertilization events (foliar and soil) during chickpea growing season to obtain a uniform distribution of 15N among plant parts. We will then define a 2.5 m2 microplot for 15N experiments in each of the 12 main research plots (i.e., 3 chickpea varieties grown in 4 blocks). At chickpea termination, we will remove chickpea residues from the surface of microplots, and we will take 3 soil samples (0-15 cm) per microplot and analyze them for 15N. We will add 15N-labeled residues to the surface of microplots, at a rate identical to what the remainder of the main plots receive in non-labeled residues (i.e., a 1:1 substitution). Land preparation and corn seeding will follow, using identical methods as those used for the rest of the main experiment, and fertilizers will be analyzed for 15N. At harvest, we will collect whole corn plants and three additional soil cores per microplot and analyze them for 15N. All 15N samples will be analyzed by combustion, using an elemental analyzer coupled to a mass spectrometer. We will use an isotope mixing model with three pools (chickpea residue N, fertilizer N, soil N) to quantify the amount of N transferred from chickpea to the subsequent corn crop and to the soil.
At both PSREU and FAMU research stations, we will monitor N-cycling using traditional methods, focusing on the 6-8 varieties selected for objective 1 in addition to the rye cover crop (total: 28 to 36 plots per site per year). We will quantify soil extractable N using 2M KCl in the tilled layer (0-20 cm) before chickpea/rye planting, midway during the chickpea/rye growing season, after chickpea/rye termination (and before corn planting), midway in the corn growing season, and after corn harvest. We will collect soils for potential net N mineralization (a 28-day incubation) for all of these time steps, using the method of Roberston et al. (1999). After chickpea/rye termination, we will build N mineralization curves to determine the temporal release of N from chickpea/rye residues over time, measuring soil-extractable N at four time points during a two-month incubation.
We will also measure soil protein and permanganate-oxidizable C (POXC), according to Stott et al. (2019), before chickpea/rye planting, after chickpea/rye termination, and after corn harvest, to measure changes in emerging soil health indicators. Before corn planting, we will measure traditional soil fertility indicators (Mehlich-extractable micro- and macronutrients, soil pH) to adjust fertilization rates, using an external laboratory. Finally, at both research sites, we will collect crops for total N analysis (chickpea/rye aboveground biomass, corn aboveground biomass and seeds) in each plot in each year, and we will determine total N and C by combustion.
For on-farm trials, we will focus on measurements of crop N in chickpea and corn, incubations quantifying N release after chickpea termination, soil protein N and POXC (before chickpea, after chickpea, after corn), and traditional soil properties measured before corn. These indicators are pre-selected as they provide information that should be most applicable to growers, although we will refine the choice of indicators with the advisory council and participating growers.
All data collected for objective 2 will be analyzed using analysis of variance (ANOVA), using a different ANOVA for each research station (i.e., PSREU, FAMU), with chickpea varieties as a fixed factor and block as a random factor. When multiple measurements are taken from a given plot in a year (e.g., N mineralization), a repeated measures model will be used. For on-farm trials, all sites will be analyzed at once, using site as a fixed effect in the model. Tukey HSD tests will be used for means separation, and appropriate data transformations will be used prior to analysis to conform with conditions of normality of residuals and homogeneity of variances. All analyses will be conducted in R.
Co-PIs Maltais-Landry and Wilson will lead research activities laid out in objective 2.
Objective 3:
Monitoring provides information on pest population density and is the cornerstone of any pest management program. Chickpea is a leguminous annual plant that is attacked by a host of pests including, beet armyworm, Spodoptera exigua; chickpea leafminer, Liriomyza cicerina; cowpea aphid, Aphis craccivora; and pod borers, Helicoverpa armigera.
The corn earworm (CEW) Helicoverpa zea Boddie is a major pest of corn in the Southern Coaster Plain areas (Reay-Jones 2019). The larva feeds on several field and horticultural crops including alfalfa, clover, cotton, oat, millet, corn, and sorghum. In corn, the larva initially feeds on silk before moving to the developing kernels.
The European corn borer (ECB) is an important pest of field crops that cause an estimated $1 billion in losses annually (Hutchinson et al. 2010). ECB was introduced into the eastern US in 1917. The larva feeds on the silk eventually gaining access to the kernels. In the southern US there are three to four generations per year.
The southern corn rootworm (SCR), Diabrotica undecimpunctata howardi also known as the spotted cucumber beetle is common in southeastern US. A female can lay up to 500 eggs in its lifetime (Farms. Com). Depending on climate, the SCR can have up to 3 -4 generations per year. Both adults and larvae feed on a wide range of field crops but the larva is the more damaging life-stage. The larva feeds on the terminal blades making round holes and later in the season when the roots are established, they will begin feeding on the roots.
Methodology:
We will use several monitoring techniques to quantify the major pests in chickpea and corn that are common to North Florida. Insects and beneficials will be monitored in selected chickpea varieties to assess levels of susceptibility. Pheromone traps will be deployed to monitor the flight activity of adult beet armyworm and pod borers in Chickpea. The larvae of beet armyworm and pod borers will be monitored by shaking known number of plants and counting the number of larvae that fall onto a drop cloth held beneath the canopy. Aphids and leafminers will be monitored using unbaited yellow sticky cards and using in situ counts.
We will also monitor CEW, ECB, and SCR in corn/chickpea (research plot) and a grower standard corn/rye. We will compare the abundance of pests and beneficials in these two systems. The corn earworm will be sampled by randomly choosing known numbers of plants at each location. Each plant (seed heads) will be vigorously shaken over a beat sheet and the number of larvae that fall onto the sheet will be counted and recorded. For the ECB, we will initially deploy two baited pheromone traps (E race & Z race) of the Heliothis (Hartstack) style, which will be checked weekly. After the trap-catch is initiated, we will count egg masses and young larvae found on the plant. Sampling for ECB egg masses will involve examining the upper and lower sides of the corn ear leaf, on approximately 10 plants (one leaf per plant). We will also examine the leaf junctions for larvae and record the number of caterpillars found. Root assessment for larval feeding will be made at three random locations in each field. We will inspect 5 consecutive root balls to assess root injury. In addition to major pests of corn, we will also sample for beneficial insects such as parasitoids and predators. Egg parasitoids of CEW and ECB include Trichogramma spp., and Telenomus spp. whereas larval parasitoids include Cotesia spp., and Campoletis spp. Predators typically feed on eggs and larvae of corn earworm and ECB. Some common predators in the corn system that will be assessed include the lady bird beetle, Hippodamia convergens Guerin-Meneville, lacewings, Chrysopa and Chrysoperla spp., minute pirate bug, Orius spp. and big-eyed bugs, Geocoris spp..
Monitoring data will be compared according to varieties analyzed using repeated measures ANOVA. Pest and beneficial insect counts will be transformed to ln (x+0.5) to normalize the distribution and homogenize the variances among before analysis. Treatment means will be separated by Tukey’s HSD test. We will also t-tests to determine differences between our research plots and the grower standard. Co-PI Liburd will lead research activities and data analysis for objective 3.
Objective 4:
We will develop Partial Budgets to compare selected chickpea varieties' cost-effectiveness in Years 2 and 3. Partial Budget Analysis (PBA) is a commonly used technique to assess the impact of quantifiable economic changes in both costs and returns in a farm enterprise (Kay et al., 1994). PBA compares the negative effects (i.e., estimated cost) and positive effects (i.e., estimated returns) of employing a new treatment relative to the cost and returns of a baseline treatment. Total effects are calculated by subtracting the estimated negative impact from positive effects attributed to a new treatment. The use of PBA is appropriate when evaluating and comparing the impact of alternative production techniques where there is a single variant (in our case, the dual-use chickpea as cash and cover crop) in the production system (Wossink and, Osmond, 2002). We will use the PBA format suggested by Dalsted and Gutierrez (1992).
Our analysis will account for changes in the structure of production costs, including operational costs (e.g., labor, machinery, and material) associated preharvest, harvest, and production stages of chickpeas. Data for this analysis will come from observations collected in field trials, public sources, and surveys available through federal and state/regional agencies, and the academic literature. To validate the degree of accuracy of cost and revenue estimates drawn from literature and market surveys, we will convene a panel of 6 growers and use the Delphi Method—a process which aims to achieve convergence of opinion on a specific question or topic (Linstone and Turoff, 2002; Okoli and Pawlowski, 2004).The results of the economic analysis will provide side-by-side cost-effectiveness comparisons of selected chickpea verities. Co-PI Ruiz-Menjivar will lead research activities for objective 4.
Objective 5:
Active grower participation in the research process from conceptualization through implementation and outreach is critical to the success of this project. We use two specific activities to ensure that growers are aware of and informed about the project and that they play an active, decisive role in the development of the project.
The Advisory Council is a permanent governing body for the duration of the project that will meet bi-annually to assess overall results, discuss progress and impacts, and determine if the project plan requires adjustments. We will seek nominations from county and district Extension personnel and from individuals who have formal and informal leadership roles in their communities and who have collaborated previously with researchers and Extension from FAMU and UF. The AC will (1) provide targeted consensus-based input to refine and improve research activities and (2) detailed reviews of progress for each of the four research objectives. Dr. Swisher will facilitate the discussions to help ensure that the AC can reach consensus-based recommendations necessary to ensure scientific and methodological rigor, reduce research bias, and enhance research outcomes and the potential quality of findings. We will summarize the impact of these recommendations in the final project report.
The Field Research Assessments are conducted by small groups (maximum of 10 participants) who are convened ad hoc. We will conduct separate assessments for growers and for technical advisors. The participants first complete individual visual assessments of the treatments in the research setting. They know what treatments are used, but the plots are not labelled to prevent bias based on prior experience or knowledge. After the visual assessment, the groups learn what treatments they observed and also the research results to that time in the project. Extension and other personnel convene separately to make specific recommendations. We have used this technique successfully for the past five years to improve biological research outputs and identify critical factors that influence growers' assessments of alternative treatments. The output of these assessments is recommendations for ways to enhance the quality of our research, and these recommendations provide clear guidance about what aspects of our research are likely to be most "adoptable" by growers.
We will need Institutional Review Board (IRB) approval for the human subject research component of activities. We will use qualitative data analysis techniques to analyze the data, focusing on the themes and patterns of responses that are most important for project success. Our qualitative approach involves four steps that collapses original codes to a set of over-arching themes that capture the concepts that are shared by many, sometimes all, respondents. Reaching consensus is a challenging task for participants in both roles. Dr. Swisher has lengthy experience in facilitation, much of it with farmers and Extension agents, and she will lead the activities in objective 5.
Year 1 (April 1, 2021 to March 31, 2022):
The project aims to provide critical data regarding yield, varieties, and management practices for chickpea in the southeastern US, including its potential role in rotational corn-based rotational cropping systems.
Objective 1: Evaluate yield, nutritional quality and N-fixation of chickpeas integrated into corn cropping systems:
- Germplasm characterization:
One hundred eight experimental chickpea lines and 9 commercial varieties (CDC Leader, CDC Orion, Sawyer Chickpea, Sierra Chickpea, CDC Palmer, CDC Frontier, New Hope, Royal Chickpea, Troy Chickpea) were planted on November 16, 2021. The plot size was 20 square ft. The trials were planted in alpha-lattice design with 2 replications. Data were collected on early ground cover (1-9 scale; 1=10%, 9=full ground cover); growth habit (1-5 scale; 1=completely upright, 5=prostate growth habit); % emergence; freeze damage (0-9 scale; 0=no leaf burning, 9=completely killed); days to 50% flowering (the time between planting and 50% of open flowers); Days to 50% podding (the time between planting and 50% of pods visible); biomass at 60 days after planting (Kg ha-1); shoot dry weight/plant (g); root dry weight/plant (g); root/shoot ratio; number of primary and secondary branches/plant; Ascochyta blight (0-9; 0 = none, 9 = severe); Alternaria leaf blight (0-9; 0 = none, 9 = severe); and Botrytis grey mold (0-9; 0 = none, 9 = severe). The estimation of N-content in shoot is currently underway. The drone based multi-spectral and thermal images were collected three times at different growth stages to estimate NDVI (normalized difference vegetation index) and CT (canopy temperature). NDVI data will provide early ground cover and progress on ward. CT will provide stress tolerance in different lines. Multi-spectral and thermal image data are currently under processing. The trials will be harvested in 2nd week of April 2022. At harvest, plant height, pods/plant, seed yield, and 100-seed weight data will be collected. After harvesting, total protein, digestible fiber, Fe, Zn, K and Mg in grains will be measured.
|
Ground cover (1-9) |
Growth habit (1-5) |
Freeze damage (0-9) |
% Emergence |
Days to 50% Flowering |
Days to 50% podding |
Biomass (Kg ha-1) |
Shoot dry weight/plant (g) |
Root dry weight/plant (g) |
Root/shoot ratio |
Number of primary branches |
Number of secondary branches |
Ascochyta blight (0-9) |
Alternaria leaf blight (0-9) |
Botrytis grey mold (0-9) |
Mean |
5 |
2.2 |
1.3 |
64 |
104 |
114 |
505 |
1.4 |
0.4 |
0.3 |
3.6 |
11.8 |
2.11 |
0.43 |
0.48 |
Min |
1 |
1.0 |
1.0 |
10 |
92 |
101 |
233 |
0.6 |
0.2 |
0.1 |
1.8 |
3.8 |
0.00 |
0.00 |
0.00 |
Max |
8 |
5.0 |
2.0 |
93 |
130 |
129 |
1150 |
2.4 |
1.2 |
1.0 |
9.4 |
32.8 |
8.0 |
4.0 |
6.0 |
Sig |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
** |
Table is showing mean, minimum, maximum and significance level for different traits. The genotypes showed significant variations for the measured traits. In general, experimental lines showed more prostrate growth at early state, higher emergence, better freeze tolerance, higher biomass, root and shoot dry weight compared to commercial checks grown in the USA. The mean primary and secondary branch count was similar between experimental lines and US commercial checks. Ascochyta blight, Alternaria leaf blight and Botrytis grey mold diseases were detected in the trials. Check varieties, CDC Orion, CDC leader and Sawyer showed high level of infection (5-6 rating out of 9) for Ascochyta blight. Multiple experimental lines showed high level of resistance (0 rating out of 9) to all three diseases. Though the experiment experienced multiple freezing events between mid-January to early March, many experimental lines showed minimum to no freeze injury. From the first-year study, we will select 5-6 chickpea lines for year 2 and 3 studies.
Objective 3: Measure insect and disease pressure in the rotational crops:
- Measure insect and disease pressure in the rotated crops:
Insect sampling in the chickpea plots began on 13 January 2022 and will conclude on 24 March 2022. Three sampling techniques were employed: 1) in situ counts conducted every other, 2) pheromone baited wing traps checked weekly, and 3) unbaited yellow sticky traps placed in the field every other week.
During in situ counts, chickpea plants were checked for beet armyworm, Spodotera exigua, and corn earworn (Helicoverpa zea) caterpillars, leaf mines, and aphids. Other pests and beneficial insects seen on the plants were also recorded. Two plants in each of 30 randomly selected plots were sampled on each sampling date for a total of 60 plant. As of the 10 March sample. Few insects have been seen on chickpea plants. These included 4 aphids, 2 leaf mines, 5 leaf hoppers, a flea beetle, and a parasitoid wasp. A pod with two holes chewed in it was also noted.
Pheromone baited wing traps were used to monitor for beet armyworm and corn earworm moths. Nine traps were baited with each pheromone for a total of 18 traps. The sticky card in each trap was changed out weekly and the lure were replaced on 17 February. An average of 0 to 0.33 beet armyworm moths per trap were collected until 10 March when the number jumped to 1 beet armyworm moth per trap. Trends for the corn earworm moth were similar. An average of 0 to 0.22 corn earworm moths per trap was collected between 20 January and 24 February. Average corn earworm moths per trap increased to 0.56 and 1 on 3 March and 10 March respectively.
Thirty unbaited yellow sticky traps were deployed throughout the field to monitor for aphids, leaf miner flies (Liriomyza spp.), other pests, predators, and parasitoids. An average of 1.1 to 3.8 aphids per trap have been recorded so far. Leaf miner numbers have remained below and average of 1 per trap. Thrips were a common pest seen on yellow sticky traps with an average of 2.2, 2.4, 10.2, and 19.7 recorded from traps collected on 20 january, 3 February, 17 February, and 3 march respectively. Other pests noted included hoppers, flea beetles and an occasional whitefly. The most common predators were spider (Arachnida). Lady beetles (Coccinellidae), rove beetle (Staphylinidae), syrphid flies (Syrphidae), a big-eyed bug (Geocoris sp.), brown lacewings (Chrysomelidae) were also noted. An average of 4.4 and 7.6 parasitoid wasps per trap were collected each sampling week.
- Major changes or problems?
The biggest challenge was determining what to sample. Chickpea is grown primarily in the Northern US. Therefore, some of its key pests are not present in Southern US. We sampled for corn earworm, H. Zea, because it occupies a similar niche in North America. Three species of Liriomyza that occur in Florida: American Serpentine Leafminer, L. trifolii, Vegetable Leafminer, L. sativae, and Pea Leafminer, L. huidobrensis, so we sampled for those.
Objective 5: Incorporate stakeholder’ recommendations in the evaluation of project activities, conduct outreach and training, and disseminate findings on the potential dual-purpose of chickpea in agricultural production systems.
- Our research team is forming a 10-member Advisory Council (AC) to conduct biannual advisory council meetings and Field Research Assessments. The goal of the Advisory Council's work is to shorten the time between identifying stakeholders' challenges and opportunities and adopting innovations based on the findings.
- Team meetings: we organized several team meetings to elaborate and review the documents necessary for our research activities (Advisory Council and Field Research Assessment) to create the list of the research participants and plan the research activities.
- Research Documents/UF IRB Approval: we elaborated the informed consent, facilitator guide, and the Advisory Council's recruitment materials. We submitted those documents to the Institutional Review Board at the University of Florida (UF IRB) for approbation before recruiting the research participants. We now have full approbation from UF IRB to organize the Advisory Council.
- Recruitment Process for the Advisory Council (AC): we created the first list of ten potential research participants for the Advisory council composed of farmers, extension personnel, distributors, and food processors. We have contacted all of them. 4 people (2 growers, a seed producer, and a minor crop expert) have agreed to participate, and we had six non-responses. We plan to do a follow-up to understand if the six remaining do not agree to participate. Then, we will create another list of potential participants to recruit ten members for the advisory council. Also, we planned to recruit our research participants via phone and email. We will now try to recruit in person and make this change in our protocol for the Institutional Review Board at the University of Florida (UF IRB) accordingly. We hope to organize our first Advisory Council in April 2022. We will make a field visit and organize a team meeting to elaborate our research instrument, informed consent, and recruitment materials and submit them to UF IRB for approval. Then, we will recruit the research participants, schedule, and perform the field research assessment.
- We have also created facilitator guide for the Advisory Council
What we plan to do during the next reporting period to accomplish the project goals:
Year 2 (2022-2023)
- Plant the selected chickpea varieties and one rye variety in rotation with corn at PSREU, Citra, FL and Florida A and M University (FAMU) Research and Extension Center, Quincy.
- Assess chickpea varieties for yield, diseases and insect incidence, and N-fixation.
- Assess N cycling, N mineralization, and the temporal release of N from chickpea residues over time during the rotational crop, corn, using traditional methods.
- Assess soil health indicators, soil protein and permanganate-oxidizable C (POXC), before chickpea planting, after chickpea termination, and after corn harvest.
- Setup an experiment at PSREU to trace 15N in the three most promising varieties. After harvesting of chickpeas, corn will be planted to evaluate N credits to corn, by tracing 15N from chickpea residues to the soil and corn.
- Quantify the major corn pests including the corn earworm (CEW), European corn borer (ECB), and Southern corn rootworm (SCR). Additionally, beneficial insects such as parasitoids and predators will be monitored.
- Assess corn yield, test weight, etc. at harvest.
- Collect and analyze economic data.
- Conduct biannual AC meetings.
- The Field Research Assessments will be conducted by small groups (maximum of 10 participants) who are convened ad hoc.
- Conduct separate assessments for growers and for technical advisors.
- Conduct four quarterly meeting of project team members.
- Present the data at the Florida Entomological Society, Entomological Society of America, ASA-CSSA Annual Meeting, Regional ASA meetings in 2022. We will also participate in upcoming field days and workshops.
Objective 1: Evaluate yield, nutritional quality and N-fixation of chickpeas integrated into corn cropping systems.
Agriculture management practices have been widely used to improve soil quality and environmental sustainability. The overall goal of our research project is to explore the potential for chickpea to contribute to both the environmental and economic goals of sustainable agriculture in the southeast USA. For this purpose, we selected and evaluated a diverse set of 108 chickpea genotypes along with 10 US commercial varieties (Royal, Sawyer, Sierra, Troy, CDC Orion, CDC Frontier, CDC Palmer, CDC Leader, New Hope) for adaptation and cold tolerance under field conditions during the 2021-22 growing season. The minimum and maximum temperatures in the growing area were 24.7 °F and 91.1 °F respectively. Whereas we got 19 h of freezing temp during the growing season. The germplasm panel was evaluated for 23 different traits at vegetative and reproductive stages.
Out of 108 germplasm, 29 had a ground cover of more than 60% whereas 34 experimental lines showed a growth habit of semi-prostrate or prostate type. The dense plant structure in these lines significantly reduced the pressure of weed and improved the plant biomass. The dry biomass was significantly higher (49%) as compared to commercial checks. Eight of the experimental lines produced a dry biomass of more than 1000 lb/acre whereas the maximum dry biomass in US checks was 451 lb/acre. The average number of days to 50% flowering, podding and pod maturity were 104, 114 and 136 respectively in experimental lines whereas the US checks were a week late in flowering, podding and maturity.
We selected 10 plants per plot for measuring the plant height, average number of primary and secondary branches, and number of pods per plant. We found that 31 of the experimental lines had more than 15 numbers of pods per plant compared to only one check that had more than 15 pods per plant. The yield was significantly higher in plants that had more pods per plant. The average yield in experimental lines was 410 lb/acre compared to 167 lb/acre in checks. Out of 108 experimental lines, 14 yielded more than 900 lb/acre. Plant samples were also collected for N-estimation where some of the lines were high N-fixers that fixed more than 100 kg N/ha.
High-throughput phenotypic data were collected with a thermal and hyperspectral camera mounted to a drone. Data was collected around solar noon time in chickpea plots. Images of the experimental fields were obtained and formatted to tabular data by calculating the mean value of the pixels inside the center of each individual trial plot represented as a polygon area on a map. The relationship between the canopy temperature (CT) and normalized difference vegetation index (NDVI) was calculated. The CT and NDVI are associated with the components of grain yield. The average NDVI value for the experimental lines was 0.715 while this value was 0.615 for US checks. Larger NDVI values are associated with greater biomass accumulation, high chlorophyll content, and longer grain filling period. In contrast, the experimental lines had lower canopy temperature values (59 °F) compared to US checks (65.3 °F). Lower canopy temperatures are reported to play a key role in the formation of deeper root systems, enhancing the dry root weight, plant access to water thus resulting in high yields.
The first-year study was also focused on the visual identification and classification of chickpea plant disease such as Aschochyta blight caused by the fungal pathogen Ascochyta rabiei; Alternaria blight cause by Alternaria brassicicola, A. brassicae, and A. raphanin; and Botrytis grey mold caused by the fungus Botryotinia fuckeliana. Ascochyta blight and Alternaria blight were the most common diseases in chickpea field that affected some of the lines upto 50% though some of the lines were completely resistant to diseases. Similarly, all the lines were evaluated for their resistance to cold tolerance and many of them showed high resistance to frost damage.
Plan to do during the next reporting period to accomplish the project goals?
Based on the last year data, we selected 8 high yielding cold tolerant lines that will be planted in two different locations i.e., PSREU Citra, NFREC Quincy for further evaluation and validation in 2023-24.
Did you have any major changes or problems?
Due to late freezing (mid-March 2022), the seed increases were negatively affected by the abortion of flower and developing seeds. Additionally, combine harvester malfunction caused mixture of seeds of different entries which was an unintentional mistake. Due to these two reasons, we had low seed return from the increase block which restricted us to plant variety trials in two locations (PSREU, Citra and FAMU, Quincy) in 2022-23 growing season. We decided to increase seeds of selected experimental entries in 2022-23 growing season and accrue enough seeds for multiple trials in 2023-24 growing season. Due to these unavoidable circumstances, we needed to change the plan of research project. We are also planning to request for a one year no-cost extension of the project before March 2024 for successful completion of all the project goals.
Objective 2: Assess N-fixation by chickpea and N credit to the subsequent cash crop, by combining 15N tracing at one research site (PSREU) on the three most promising varieties with more traditional N cycling measurements at both research sites and on growers’ fields.
The two-year experiment for this objective compares chickpea to other winter crops grown in a rotation system with corn, to evaluate the effects of these different winter crops on nitrogen cycling and soil health.
In Year 2 (2022-2023), due to limited seed availability of the best performing experimental chickpea genotypes, two commercial chickpea varieties (CDC Leader and CDC Orion) were planted to assess chickpea N credits to a subsequent corn crop. The other three treatments were a rye cover crop, a clover cover crop, and a chemical fallow. Given the lack of experimental chickpea varieties available for Year 2, we established alternative treatments in the plots that were reserved for experimental chickpea varieties: a rye-clover mixture, another grass cover crop (wheat), and a disked fallow. Hence, the experiment comprised eight treatments in total. The mixture was included to assess the possible benefits of combining grasses and legumes, wheat was chosen as a cheaper cover crop that is adopted at the experimental station, and the disked fallow was used to isolate possible effects of chemical weed control on soil dynamics.
The trial was set up as a randomized complete block design with split-plot restrictions in randomization and four replications, for a total of 32 main plots and 64 split-plots. Chickpea varieties and cover crops were set as the main plot during winter. Main plots will be split into two plots received N rates of 18 kg ha-1 (i.e., only the starter fertilizer) and 270 kg ha-1 (i.e., current UF/IFAS recommendation) during the corn season (split in three applications) to evaluate N credits generated by winter crops.
Winter crops were planted using a small-plot cone planter at a single site at the Plant Science Research and Education Unit (PSREU) in Citra (FL) in 10-row, 9.2 m (30 ft) long plots with 19 cm (7.5”) row-to-row distance for chickpeas and cover crops. Chickpeas were inoculated with Cicer specific Rhizobium bacteria prior to planting to encourage nodulation. Planting in Year 2 occurred in December, but a mid-November planting is targeted for Year 3, to have an earlier harvest around late March or early April, and thus be better aligned with North Florida's corn planting window. All crops will be terminated following chickpea harvest in May, with the incorporation of post-harvest residues (chickpea) or the whole biomass (rye, clover, wheat, mixture) into the soil. Because the rye cover crop was ready for termination sooner due to earlier flowering relative to legumes and wheat, the rye and rye-clover mixture was terminated mid-March in Year 2. A grain corn hybrid will be planted in early May in the same plots to assess the potential of winter crops to provide N credits to the subsequent crop. Corn plots will be planted in six rows per split-plot, with a 75 cm (30") row-to-row distance.
As part of this experiment, we will also label winter crops with 15N in a separate field, to provide enriched residues that will allow us to trace N from winter crops to the corn and soil pools. Those labeled residues will be added to microplots within each split-plot of the main experiment, using a 1.5 m2 micro-plot (two rows of corn for a length of one meter). 15N-labeled crop residues will be evenly incorporated into the soil surface of the micro-plot before corn planting. Residue incorporation aims to supplement a fraction of the average residue biomass in the main plots (e.g., 25% or 50% of total residue will be added as 15N-labeled residues). Land preparation and corn seeding will follow, using identical methods as those used for the rest of the main experiment. Fertilizers will also be analyzed for 15N.
Chickpea and corn yields will be determined at harvest, in addition to cover crop aboveground biomass. Crops will be analyzed for total C and N (cover crops aboveground biomass, corn/chickpea aboveground biomass and seeds) in each plot in each year by combustion. At harvest, whole corn plants and three soil cores per micro-plot will be collected for 15N determination. All 15N samples will be analyzed by combustion using an elemental analyzer coupled to a mass spectrometer.
Soil samples will be collected three times per year (6 times total): before chickpea and cover crop planting, at winter crop harvest/termination (i.e., before corn planting), and after corn harvest, to measure changes in soil health indicators through the rotation system. Potential net N mineralization (a 28-day incubation) will be determined, using the method of Robertson et al. (1999), and soil protein and permanganate-oxidizable C (POXC) will be measured according to Stott et al. (2019). Traditional soil fertility indicators (Mehlich-extractable micro- and macronutrients, soil pH) will be measured before corn planting to adjust fertilization rates, using an external laboratory. Samples were already taken before chickpea in Year 2.
All data collected will be analyzed using analysis of variance (ANOVA), with chickpea varieties as a fixed factor and block as a random factor. When multiple measurements are taken from a given plot in a year (e.g., N mineralization), a repeated measures model will be used. Tukey HSD tests will be used for means separation, and appropriate data transformations will be used prior to analysis to conform with conditions of normality of residuals and homogeneity of variances. All analyses will be conducted in R.
Plan to do during the next reporting period to accomplish the project goals?
The goal for Year 3 (2023-2024) is to return to the original plan, with the three best performing chickpea genotypes added to the trial to replace alternative treatments. The eight treatments of Year 3 should be: five chickpea varieties (CDC Leader, CDC Orion, three best-performing experimental genotypes), a rye cover crop, a clover cover crop, and a chemical fallow. However, if seed availability remains an issue in Year 3, the same design as Year 2 will be used.
Objective 3: Measure insect and disease pressure in the rotational crops.
The spring 2022 season was concluded as planned. Parasitoids on yellow sticky traps were identified to family when possible. There were 19 specimens (out of 176) that were too damaged to identify. The most common families seen on traps were Ceraphronidae, Ichneumonidae, Eulophidae, and Figitidae.
Sampling from chickpea is again taking place this season. It began on 7 Feb 2023 and will conclude by the end of April. Yellow sticky traps and wing traps baited with corn earworm pheromones were deployed as in the previous season. The one exception is that yellow sticky traps are being left in the field for only 48 h this season. Aphids, thrips, and hoppers are the main pests seen on yellow sticky traps along with a few leaf miner flies. Spiders, lady beetles, rove beetles, and parasitoid wasps are the main beneficial insects observed on traps. At least one corn earworm was collected from each trap on 28 Feb and the population peaked on 16 March.
Plant samples are also being collected this year. Leaf samples have been collected every other week since 14 Feb. Five samples of 10 leaves each are collected from the CDC, MED, and CAT groups of cultivars. A few aphids and thrips have been recorded from leaves so far. A couple of yellow stripped armyworms and a European corn borer were found feeding on leaves. Pod borers were also collected from leaves in the process of moving from one pod to another. They are either corn earworms or tobacco buds worms. The caterpillars are difficult to distinguish from each other, so they are being reared to confirm their identity.
Weekly flower sampling began on 28 Feb. Five samples of five flowers are collected from each of the three groups of cultivars. Low numbers of adult male and female Frankliniella bispinosa, Florida flower thrips, have been collected from flowers, but no larvae have been collected so far. This indicates that the flower thirps are using the flowers as a food resource only and not as a reproductive host.
Weekly pod sampling began on 9 March. Five samples of five pods are collected from each of the three groups of cultivars. Pods are examined for borer injury and opened to see if borers are inside. The highest number of borers and injury so far were sampled on 28 March. The borers are either corn earworms or tobacco budworms. All live caterpillars are being reared to confirm their identity. It is possible that both species are attacking the pods.
Plan to do during the next reporting period to accomplish the project goals?
We will finish this season’s sampling and sample processing. We will identify moths that emerge from the raring process to species and parasitoids on the yellow sticky traps to family. We are planning on presenting our data at the Entomological Society of America annual meeting in November 2023.
The next season will involve planting chickpea before corn. We will compare the pest complex in a rye/corn rotation to that in a chickpea/corn rotation. The sampling plan will be developed based on what we’ve learned about the chickpea pest complex over the last two seasons. We will also sample for common corn pests.
Objective 4: Evaluate and compare the economic feasibility of production for evaluated chickpea varieties.
We have developed the data collection instrument to be used for gathering economic data during the planting season in November 2023. The economic data collection instrument contains cost fields for several expense categories, including amount and cost for fertilizers, manure, compost, herbicide, pesticide, insecticide, seeds, tillage, seeding, harrowing, labor, and overhead. The instrument has been added to the IRB protocol #IRB202102861, which has been approved to conduct research with human subjects.
Plan to do during the next reporting period to accomplish the project goals?
The Social and Economic Research team will work closely with PI Babar during the planting season in November 2023 to collect data from their field experiment. Data will be collected on a weekly basis via Qualtrics. Both primary data collected through field experiments and secondary data (i.e., estimates obtained from public sources, such as local stores, federal and state agencies. and academic literature) will be utilized for the proposed analyses under this objective.
Objective 5: Incorporate stakeholder’ recommendations in the evaluation of project activities, conduct outreach and training, and disseminate findings on the potential dual-purpose of chickpea in agricultural production systems.
The project plan was to organize two advisory council meetings and a Field Research Assessment in Year 2. Freezing weather made it impossible to complete the planned field research assessment in 2022 because the winter crop was severely damaged. We now plan to conduct a field assessment in the winter 2024 and 2025.
Advisory Council/Participants’ profiles and points of discussion: We conducted the first advisory council meeting on September 26, 2022. We had to postpone the second meeting to June 2023 due to the change in experimental plan. For the year 2023-2024, we plan to have our first advisory council in November or December 2023 and the second one in March or April 2024.
Five individuals agreed to participate in the first advisory council meeting in September 2021. The participants were a farmer, a farmer who is also a food processor, a seed producer, an extension agent, and an extension economist. The advisory council reviewed project goals and activities, the chickpeas and chickpea-based products identified in the market, the greatest potential benefits of raising chickpeas in Florida, the biggest potential constraints/challenges of raising chickpeas in Florida, possible collaborations, and topics for the next meeting.
The first field experiment for the project was conducted in the winter of 2021. The research team evaluated 108 experimental lines using nine US commercial varieties. The winter of 2021 was abnormally cold and the plants were exposed to freezing temperatures several times. Only a few of the 108 lines were minimally affected. There were a few lines that adapted to the cold better and were not severely affected even though they remained in the field for the entire winter season. Some of them yielded 2000 pounds/acre. The team selected a few lines from the most resistant to the cold to test them in winter 2022. The team will also look at the benefits to soil health that chickpea as a cover crop can generate including nitrogen fixation, increased soil organic matter, and improved soil moisture retention, although these changes will not be great over the short term.
We plan to conduct on-farm experiments to expose promising lines to the full range of variance under typical production conditions. We will use these growers’ experience and advice, the grower field assessment, and the input from the advisory council to understand farmers’ conclusions about using chickpea as a cash and cover crop. We will work with the farmers who elect to conduct field trials to understand the problems and the potential for chickpea as a crop in Florida. This will include growers’ conclusions about the utility of the chickpea crop, whether it can be profitable, and potential barriers to adoption. We prefer to conduct trials during the cool season because rain is more reliable in the winter in Florida, but freezing conditions can prevail.
The following comments reflect the key topics of discussion in the first advisory council meeting:
Topic 1: Greatest potential benefits of raising chickpea as a cash and cover crop in Florida
- Potential benefits for farmers, ranchers and others who raise animals.
Chickpea as a cover crop has the potential to improve management of nutrients through increased organic matter and water retention and reduced erosion.
Given the importance of the fresh produce market for Florida farmers and their long experience with fresh produce sales, Florida farmers are well situated to develop chickpea-based enterprises.
Existing lines of chickpea products demonstrate the potential for more product lines like pet foods and pastas.
- Potential benefits for ranchers
Raising chickpeas in Florida will help ranchers produce feed during the wintertime when grass production decreases.
Having chickpea could facilitate better winter rotation cycles.
- Potential benefits to other producers in the food system
Raising chickpeas in Florida will be a new opportunity for seed producers to increase their sales. Since the varieties that we are testing are already available in the seed market, seed producers will not have to produce other varieties of seeds that they are currently producing.
Growing and harvesting green chickpeas in Florida may add great value to processors who can build on the existing market base.
- Potential benefits for consumers
Increased fresh chickpea availability in Florida can increase access to healthful food. For example, chickpea pasta cooks faster and has high nutritional content than traditional wheat-based products.
Topic 2: Biggest potential constraints/challenges of raising chickpea in Florida
- Difficulties to reach farmers – We might have difficulties getting the full participation of the farmers we are targeting. Farmers might be concerned about messing up their cash crops by planting chickpeas during the cool-off season. However, if the extension personnel convince them, by informing them of the benefits (soil protection, saving, and making money), they might want to try raising chickpeas.
- Possible difficulties related to bad weather and water management – Since the biologists faced freezing problems during the first trials. That might be a problem for farmers if they will often have to face freezing problems too during the winter. Water is necessary for raising chickpeas. Therefore, having rain during the summer is necessary to have a good yield.
- Soil management and pest control – farmers will need to learn new ways to manage the soils and pests by adopting chickpeas.
- Access to the market – farmers will need to be creative to integrate the market by selling chickpeas in the forms that interest the available markets, and they need to have the volume required by the market.
People to reach out for the project:
- Extension Service in Florida: to reach out to farmers (high interest in nutrient management), interest in a good market.
- Reach out to potential Consumers: we might need to organize tasting activities for different forms of chickpeas and chickpea-based products if the budget allows us to do so.
- 4H programs: to reach out to the youths.
- Experts: food scientists, nutritionists, and experts in cover crops (National Cover Crops Committee). It is important to include more insights from food sciences, consumer sciences, and healthy eating habits.
- Local Business: minorities food markets (e.g., Asian grocery stores) and other local companies to see what they offer that have chickpeas. It is also important to visit more pet food shops, to see what they offer that have chickpeas, and how prominent is chickpea in pet foods.
Points of discussion for the next advisory council meeting:
- Conduct additional discussions concerning the market opportunities and challenges.
- Given the penetration of processed chickpea products in grocery stores, identify opportunities in the fresh market.
- Discuss the potential for repeated freezes affecting project activities and the potential ways to face freezing problems.
- Discuss possible farmers’ strategies to find out the best ways to manage the soils and pests by adopting chickpeas.
- Conduct additional discussions concerning events the team project might need to organize to reach out to potential consumers of chickpeas.
Educational & Outreach Activities
Participation Summary:
The Extension component of this project has three target groups. The first is agricultural professionals working for state and federal agencies. Successful introduction of chickpea as a dual purpose crop will require that Extension personnel and other technical advisors have a thorough understanding of the potential benefits and risks to adopting this innovation so that they can assist farmers in developing a plan for adoption that will minimize risks. We will work with the leadership of the Florida Association of County Agricultural Extension Agents (FACAA) and the Florida Association of Natural Resources Extension Professionals (FANREP) to coordinate activities with agents throughout the state and we will present the results of the project at the annual meeting of the Extension Professional Associations of Florida. Other critical agencies include the Florida Department of Agriculture and Consumer Sciences (FDACS) and the Florida offices of the Natural Resources Conservation Service (NRCS) and Farm Service Agency (FSA). We will invite representatives of these agencies, all of which have regional offices in the states, to the field days we offer and to the virtual seminars (see below). We will target specifically representatives who work in the north central and northwest extension regions where our research will occur and where conditions for chickpea production are greatest within Florida. We will provide these technical advisors (Extension and others) with in-depth training through virtual workshops, described below, that cover topics like how to develop realistic budgets for chickpea production or use as a cover crop, changes that may be needed in the timing of the cropping cycle, and potential problems related to pest, weed and disease management that may emerge with the introduction of a new crop into the farmer’s farming operation.
The second and most important target population consists of farmers in Florida and neighboring states. Four farmers who are conducting on-farm trials will host 2-3 hour field days, one in North Central Florida in Year 2 and one in North Florida in Year 3. Drs. Ruiz and Swisher will work closely with the farmers and with the researchers on our team to develop active learning activities to enhance participant learning. For example, in other research we have completed pest identification activities at field days when new or emerging pests that farmers may not know well emerge during the trials. We will break participants into small groups based on similarities in their farming systems to participate in small-group discussions in which participants analyze the advantages and benefits of an innovation for their farming systems, and identify the potential pitfalls and barriers to adoption. We will also ask the president of the Florida Black Famers and Agriculturalists’ Association to encourage members to participate in the planned field days and on-line workshops and webinars. This is a critical outreach component for us in part because Marion County, where PSREU is located, has the third greatest number of Black-owned farms of all counties in the United States (2012 Census of Agriculture data).
The third target audience consists of farmers and other agricultural professionals throughout the Southern region and potentially nationwide. In Y3, we will produce two webinars to present our findings and conclusions. We will first present these webinars through synchronous workshops focusing on individuals Extension and other agencies identified above. After completing these workshops, we will make the materials available for asynchronous viewing through the publicly accessible website of the UF Center for Sustainable and Organic Food Systems. We anticipate that our results will fuel interest and activities in the scientific and extension community. Thus, we propose to present our findings during the Tri-Societies (Crop Science Society of America, American Society of Agronomy and Soil Science Society of America) conference in Year 3 of the project. Dr. Alex Bolques, collaborator on this project, will present out research at one of the Extension events conducted at the Florida A&M University (FAMU) Research & Extension Center in Quincy, FL. We will present our findings at the Southern Agricultural Workers Conference hosted by Tuskegee University and will invite Mr. Russell Bean, faculty member at Tuskegee University, to use our materials with our participation if needed through his on-going webinar series that attracts framers from the target geographic area of this project. We will develop a summary of the research results for the University of Florida extension publication service (EDIS) for use by county agents in Florida and publish our results in refereed journals devoted to agronomy and environmental management.
Learning Outcomes
Chickpea variety, production technique, benefit in using as rotational crop.
Project Outcomes
Potential benefits for farmers, ranchers and others who raise animals
Chickpea as a cover crop has the potential to improve management of nutrients through increased organic matter and water retention and reduced erosion. Given the importance of the fresh produce market for Florida farmers and their long experience with fresh produce sales, Florida farmers are well situated to develop chickpea-based enterprises. Existing lines of chickpea products demonstrate the potential for more product lines like pet foods and pastas.
Potential benefits for ranchers
Raising chickpeas in Florida will help ranchers produce feed during the wintertime when grass production decreases. Having chickpea could facilitate better winter rotation cycles.
Use of chickpeas for pet food
The research participants also suggest that farmers in Florida look for less discriminating markets to sell chickpeas, markets that do not meet the standards for fresh chickpeas for human consumption. Examples are food for pets (dogs and cats) and livestock. Chickpeas would be desirable for animal feed because they have a high percentage of protein. Feeding animals with high protein content is costly.
Potential benefits to other producers in the food system
Raising chickpeas in Florida will be a new opportunity for seed producers to increase their sales. Since the varieties that we are testing are already available in the seed market, seed producers will not have to produce other varieties of seeds that they are currently producing.
Growing and harvesting green chickpeas in Florida may add great value to processors who can build on the existing market base.
Potential benefits for consumers
Increased fresh chickpea availability in Florida can increase access to healthful food. For example, chickpea pasta cooks faster and has higher nutritional content than traditional wheat-based products.
Needs to conduct large-scale farmer field study.